School of Engineering of Warwick, Coventry, CV4 7AL
E: r dot castaldo at warwick dot ac dot uk
-Pattern Recognition and Biomedical signal processing:
-Machine learning techniques
Research project :
Biomedical Signal Processing and Modelling for adverse Events prediction
The main objective of my project is to study how non-invasive biomedical signals and some biomedical behavioural monitoring can be used to predict healthcare adverse events that, if not predicted in time, may cause more severe clinical conditions, which would require more complex and costly interventions. I am currently working on different case studies: acute mental stress detection, prediction and detection of falls in elderly, behavioural monitoring, including sleep quality assessment. Different methodologies have been developed and employed to collect and analyse data (see publications).
Different signals have been analysed, such as electrocardiogram (ECG) and electroencephalogram (EEG), which have been integrated with qualitative information such as self-reported questionnaires.
The practical applicability and the final scope of this project is to develop models, which are able to detect different adverse events to be, then, applied in new technologies.
(the updated list of publications can be seen on Google Scholar link)